Results 81 to 90 of about 1,004,668 (288)

E-learning Services for Rural Communities

, 2013
Information and communication technologies brought-in tools and techniques in the field of education that introduced new concepts of teaching and learning.
Hussain, Shariq, Rahim, Sabit, Wang, Zhaoshun   +2 more
core   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Online learning during the Covid-19 pandemic: the experiences and perceptions of undergraduate occupational therapy students at two Australian universities

International Journal of Health Professions, 2021
To investigate if first-year occupational therapy students who have had no on-campus, face-to-face learning experiences differed from second-, third- and fourth-year students in their perceptions and experiences of online learning during the Covid-19 ...
Brown Ted, Robinson Luke, Gledhill Kate, Peart Annette, Yu Mong-Lin, Isbel Stephen, Greber Craig, Etherington Jamie   +7 more
doaj   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Structural and Chemical Engineering of Sub‐Nanochannel Membranes Toward Ion Selectivity

Advanced Functional Materials, EarlyView.
This review summarizes recent advances in structural and chemical engineering of sub‐nanochannels for ion selectivity. We first introduce fundamental ion transport mechanisms within sub‐nanochannels, followed by strategies to tune pore size, geometry, and surface functionalities, categorized into charge‐based, ion‐recognition, hydrophilic bonding, and ...
Yuyu Su, Huacheng Zhang, Tamar L. Greaves, Qi Han, Weiwei Lei, Dan Liu   +5 more
wiley   +1 more source

Positive and negative aspects of remote learning during the COVID-19 pandemic in the view of Brazilian university students who received university assistance

Frontiers in Education
IntroductionThe COVID-19 pandemic generated concerns about people’s life and future globally. Regarding education, students worldwide faced problems (personal, social and/or economic) to continue studying.
Vera Lucia Messias Fialho Capellini, Jie Zhang, Luciana Marolla Garcia, Marcelo Setsuo Hashimoto, Eduardo Pimentel da Rocha   +4 more
doaj   +1 more source

Minimax Learning for Remote Prediction [PDF]

2018 IEEE International Symposium on Information Theory (ISIT), 2018
The classical problem of supervised learning is to infer an accurate predictor of a target variable $Y$ from a measured variable $X$ by using a finite number of labeled training samples. Motivated by the increasingly distributed nature of data and decision making, in this paper we consider a variation of this classical problem in which the prediction ...
Li, Cheuk Ting, Wu, Xiugang, Ozgur, Ayfer, Gamal, Abbas El   +3 more
openaire   +2 more sources

State-of-the-art and gaps for deep learning on limited training data in remote sensing

, 2018
Deep learning usually requires big data, with respect to both volume and variety. However, most remote sensing applications only have limited training data, of which a small subset is labeled.
Anderson, Derek T., Ball, John E., Wei, Pan   +2 more
core   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source